**** OPEN OUTPUT LOG FILE  *****


log using "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Output\Implementation Delay Project.APPENDIX E MODELS.04-19-2025.smcl", replace 




*** MODELS PREDICTING IMPLEMENTATION DELAY: TIME FROM INITIAL FILING BY CLAIMANT --> PAYMENT TO CLAIMANT [PROPORTION OBSERVED IN TIME RANGE: IN DAYS] ***





*** APPENDIX E MODELS: ANALYZING IMPACT OF "BREADTH" OF AGENCY HEADS' PRIOR GOVERNMENT EXPERIENCE -- BASED UPON NUMBER OF DIFFERENT FORMS/TYPES OF PRIOR GOVERNMENT EXPERIENCE ///
***                    ON ORGANIZATIONAL LEARNING WITH RESPECT TO IT MODERNIZATION REFORMS - PERFORMANCE: IMPROVED TIMELINESS OF IMPLEMENTATION OF FIRST PAYMENT TO CLAIMANT ***








*** RETRIEVE MANUSCRIPT MODELS DATABASE [as of 04-18-2025] ***

use "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Data\Implementation Delay.MANUSCRIPT DATABASE.04-18-2025.dta", replace




*** SET DATA TO PANEL STRUCTURE  ***

xtset stateid monthyear, monthly

*
*
*
*






*** GENERATE "BREADTH" OF PRIOR GOVERNMENT EXPERIENCE FOR AGENCY HEADS' BASED ON SUM OF THE COUNT OF NUMBER OF UNIQUE PRIOR GOVERNMENT POSITIONS HELD ***


** ELECTED OFFICIAL (agencyhead_gov1==1) **
** WORKING ON BEHALF OF AN ELECTED OFFICIAL IN NON-APPOINTED ADMINISTRATIVE [LINE] AGENCY POSITION (agencyhead_gov2==1) **


** APPOINTED POSITION IN AN ADMINISTRATIVE [LINE] AGENCY: NON-UIP AGENCY (agencyhead_gov3==1) **
** CIVIL SERVICE/NON-APPOINTED POSITION IN AN ADMINISTRATIVE [LINE] AGENCY: NON-UIP AGENCY (agencyhead_gov4==1) **


** APPOINTED POSITION IN AN ADMINISTRATIVE [LINE] AGENCY: UIP AGENCY (agencyhead_gov5==1) **
** CIVIL SERVICE/NON-APPOINTED POSITION IN AN ADMINISTRATIVE [LINE] AGENCY: UIP AGENCY (agencyhead_gov6==1) **


gen agencyhead_govcount = agencyhead_gov1 + agencyhead_gov2 + agencyhead_gov3 + agencyhead_gov4 + agencyhead_gov5 + agencyhead_gov6
*
*
*
tab agencyhead_govcount agencyhead_gov0 if itmod_adopt_state==1 & itmod_monthcount>0
*
*
tab agencyhead_govcount if itmod_adopt_state==1 & itmod_monthcount>0






*** BECAUSE OF PAUCITY OF CASES IN HIGHER-VALUED OBSERVATIONS OF AGENCYHEAD_GOVCOUNT, CREATE AN ORDINAL-THREE-CATEGORICAL VERSION OF THIS MEASURE ///
*** FOR STATISTICAL ANALYSES PURPOSES [= 0: NO PRIOR GOVERNMENT EXPERIENCE; = 1: ONLY A SINGLE TYPE OF PRIOR GOVERNMENT EXPERIENCE; ///
*** = 2: MULTIPLE TYPES OF PRIOR GOVERNMENT EXPERIENCE (2 -4 TYPES)] ***


gen agencyhead_govcount_1 = 0 if agencyhead_govcount==0
*
replace agencyhead_govcount_1 = 1 if agencyhead_govcount==1
*
replace agencyhead_govcount_1 = 2 if agencyhead_govcount>=2
*
*
*
tab agencyhead_govcount_1 if itmod_adopt_state==1 & itmod_monthcount>0





********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************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*** TESTING EH1: BREADTH OF INTRA-SECTORAL PRIOR EXPERIENCE HYPOTHESIS [PLUS, BASELINE ORGANIZATIONAL LEARNING ESTIMATES] ***



*** BREADTH OF INTRA-SECTORAL PRIOR EXPERIENCE HYPOTHESIS [0 = NO PRIOR GOVERNMENT EXPERIENCE; 1 = PRIOR GOVERNMENT EXPERIENCE RESTRICTED TO ONLY ONE TYPE OF POSITION; ///
***  = 2 PRIOR GOVERNMENT EXPERIENCE IN TWO OR MORE TYPES OF POSITIONS [2-4 TYPES OF POSITIONS] ***






****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



**** TABLE E1 -- MODELS E1 & E2: "ADMINISTRATIVE LEADERSHIP, ORGANIZATIONAL LEARNING, & IMPLEMENTATION DELAY" MANUSCRIPT STATISTICAL ANALYSES [APRIL 2025]: ORGANIZATIONAL LEARNING EFFECTS ON IMPLEMENTATION DELAY ****
***            (MODELS E1-E2; FIGURES E1A-E1C; E1D-E1F: 6 GRAPHS -- 3 PER MODEL)





****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************





*** ESTIMATE MODEL E1: 14 DAYS OR LESS [DELAY] [with ADDITIONAL COVARIATES: PROPORTION OF CASES WHERE THE INITIAL UIC PAYMENT IS MADE WITHIN 14 DAYS [2 WEEKS] OF STATE UI AGENCY APPROVAL: ORGANIZATIONAL LEARNING [CONTROLS, PLUS STATE AND YEAR UNIT EFFECTS] *** [FIGURES E1A-E1C]



npregress series delay_14days  itmod_monthcount i.agencyhead_govcount_1 if itmod_adopt_state==1, asis(agencyhead_tenure automationrate wstaff_load staff_tdiff unemp_rate  function_sup_avgsalreal i.stateid i.year  adoptcohort_2002_itadopt adoptcohort_2004_itadopt  adoptcohort_2006_itadopt adoptcohort_2007_itadopt adoptcohort_2009_itadopt adoptcohort_2010_itadopt  adoptcohort_2013_itadopt adoptcohort_2014_itadopt adoptcohort_2015_itadopt adoptcohort_2016_itadopt adoptcohort_2017_itadopt adoptcohort_2018_itadopt  adoptcohort_2020_itadopt adoptcohort_2021_itadopt)  vce(bootstrap, seed(123) rep(1000))

*

*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL E1] FIGURE E1A: First-Difference Marginal Effect AGENCYHEAD_GOVCOUNT_1==1 - AGENCYHEAD_GOVCOUNT_1==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govcount_1 if agencyhead_govcount_1==0|agencyhead_govcount_1==1, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) /// 
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Single Position Type - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE E1A}""{bf:Conditional Adaptation Estimates: Single Position Type - No Prior Government}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL E1]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model E1.FIGURE E1A.04-19-2025.gph", replace



*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************

*

* [MODEL E1] FIGURE E1B: First-Difference Marginal Effect  AGENCYHEAD_GOVCOUNT_1==2 - AGENCYHEAD_GOVCOUNT_1==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govcount_1 if agencyhead_govcount_1==0|agencyhead_govcount_1==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Multiple Positions Type - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE E1B}""{bf:Conditional Adaptation Estimates: Multiple Positions Type - No Prior Government}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL E1]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model E1.FIGURE E1B.04-19-2025.gph", replace


*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL E1] FIGURE E1C: First-Difference Marginal Effect   AGENCYHEAD_GOVCOUNT_1==2 - AGENCYHEAD_GOVCOUNT_1==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govcount_1 if agencyhead_govcount_1==1|agencyhead_govcount_1==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Multiple Positions Type - Single Position Type") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE E1C}""{bf:Conditional Adaptation Estimates: Multiple Positions Type - Single Position Type}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL E1]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model E1.FIGURE E1C.04-19-2025.gph", replace


*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************






*** MODEL E2: 28 DAYS OR MORE [DELAY] [with ADDITIONAL COVARIATES: PROPORTION OF CASES WHERE THE INITIAL UIC PAYMENT IS MADE BEYOND 28 DAYS [2 WEEKS] OF STATE UI AGENCY APPROVAL: [CONTROLS, PLUS STATE AND YEAR UNIT EFFECTS] *** 	[FIGURES E1D-E1F]

*
*

npregress series  delay_29plusdays  itmod_monthcount i.agencyhead_govcount_1 if itmod_adopt_state==1, asis(agencyhead_tenure automationrate wstaff_load staff_tdiff unemp_rate  function_sup_avgsalreal i.stateid i.year   adoptcohort_2002_itadopt adoptcohort_2004_itadopt  adoptcohort_2006_itadopt adoptcohort_2007_itadopt adoptcohort_2009_itadopt adoptcohort_2010_itadopt  adoptcohort_2013_itadopt adoptcohort_2014_itadopt adoptcohort_2015_itadopt adoptcohort_2016_itadopt adoptcohort_2017_itadopt adoptcohort_2018_itadopt  adoptcohort_2020_itadopt adoptcohort_2021_itadopt)  vce(bootstrap, seed(123) rep(1000))

*

*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************





* [MODEL E2] FIGURE E1D: First-Difference Marginal Effect AGENCYHEAD_GOVCOUNT_1==1 - AGENCYHEAD_GOVCOUNT_1==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govcount_1 if agencyhead_govcount_1==0|agencyhead_govcount_1==1, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) /// 
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Single Position Type - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE E1D}""{bf:Conditional Adaptation Estimates: Single Position Type - No Prior Government}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL E2]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model E2.FIGURE E1D.04-19-2025.gph", replace



*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************

*


* [MODEL E2] FIGURE E1E: First-Difference Marginal Effect  AGENCYHEAD_GOVCOUNT_1==2 - AGENCYHEAD_GOVCOUNT_1==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govcount_1 if agencyhead_govcount_1==0|agencyhead_govcount_1==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Multiple Positions Type - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE E1E}""{bf:Conditional Adaptation Estimates: Multiple Positions Type - No Prior Government}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL E2]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model E2.FIGURE E1E.04-19-2025.gph", replace


*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL E2] FIGURE E1F: First-Difference Marginal Effect   AGENCYHEAD_GOVCOUNT_1==2 - AGENCYHEAD_GOVCOUNT_1==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govcount_1 if agencyhead_govcount_1==1|agencyhead_govcount_1==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Multiple Positions Type - Single Position Type") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE E1F}""{bf:Conditional Adaptation Estimates: Multiple Positions Type - Single Position Type}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL E2]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model E2.FIGURE E1F.04-19-2025.gph", replace



**********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



log close
